Today there in research and development in major software organizations from IBM to Google to Apple about the crowdsourcing model of innovation. Infact Apple had adopted to this model and the success of iPhone is a very shining example. So did Google with Android platform, today there are scores of applications for this platform all over the world.

Software as we know it and Business as we knew it will change in the next five years to a total model of crowd driven innovation and growth model. Your Business is going Social, adopt to the new ways of the new world.

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There are several things to understand in this move

1. Majir mover advantage for a commercial cloud provision – apart from Amazon
2. EMC establishing its presence as a player in the DWBI and Analytics space
3. The fact that BI in the cloud is a reality
4. The new platform for DWBI and Analytics may move out of SQL
5. DWBI as we know it will change

As we start moving from a SQL intensive DWBI to a non-SQL intensive BI, we will start looking at these kinds of platforms for a new alternative. Good news for all technology enthusiasts and Analytical BI users.

Another fact is now the DW Appliances Space has very few pure-play vendors – Netezza vs. AsterData is certainly the next battle

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Press the “pause” button for a minute. Everything from your TV to your Cell-Phone has gone interactive, companies today exist in a virtual world and they need your business every minute of the day. In this mad race to gain “customer” confidence, everyone is just about “social” i.e. having a facebook page, twitter accounts, “buzz” ing around you, connecting on orkut and eventually in “my(your)space”, interactive TV is just the beginning with 3D television. You are educated about anything by the company that wants your attention if not then your friend or an acquaintance who has more than 6 degrees of separation can influence your thoughts by being “linked-in” to your social network.

We need to measure all these events and calculate the “profitability” from being social (from an enterprise perspective). This is where Social Analytics becomes a “reality”. The ability of a company to measure how much “customer-centric” they are from being a “product” vendor and link that move to bottom line revenues is what we call Social Analytics.

It all started with the “long tail effect” and measuring its impact. Today we have cool tools that can accomplish the task, but these tools will form a solution only when implemented as a platform. Every vendor and solution integrator has claimed that they have a perfect solution and soon we will see a “magic” quadrant from Gartner on this subject and its vendor ratings et al.

In the next generation of the Data Warehouse, the measures, metrics and KPI’s for any company will be led by its “customer-centricity” which largely will be social analytics driven.  The new frontier of CRM+Marketing = Social Presence, will be accounted for in “Customer Revenue”+”Influencer Revenue” = Total Revenue, and Customer Profitability = Total Revenue / “Number of people influenced” (how many people did a customer influence to buy a service or product). Product and Service profitability will be driven by micro-segmented markets and neural networks will become a normal requirement to conduct business in that frontier.

The future is bright and the road to that future is being paved at a pace faster than your imagination.

Watch this blog for more information on this subject. 

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• Lack of vision – The vision of the organization may be very narrow
• Lack of clarity – The organization is not clear about its customers needs and goals
• Lack of market – The organization is in a market where they cannot compete
• Lack of credentials – The organization may have a great strategy around services/solutions and no credentials to back up their solutions
• Lack of scalability – The organization may have limited scalability in terms of manpower, causing strategies to fail
• Lack of transparency – The organization may lack transparency in client communications with their teams and thereby causing failure
• Lack of capabilities – The organization may have limited capabilities in service offerings and hence may cause bandwidth constraints into itself.
• Lack of collaboration – The organization may not work with the client in a collaboration and may end-up performing as an order taker than a partner

In my perspective there are more reasons, but a combination of the reasons above is where normally the failure curve starts to creep up. I have been reading up on seminal work from great strategy gurus, who also recommend that if any of the above points are not clearly articulated, we will definitely see issues. My two cents, revisit the points and ponder over it to come to your conclusions.

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In the Digital world, you have concerns about losing your identity, due to theft. But that applies only in certain categories of data, on the other hand the digital world also exposes your identity to a lot of people. You can change your name and fake every information about yourself, but the computers, the smartphones, the iPods etc have their own “identity” and you cannot change that particular identity, it is like the human “DNA” and will continue to provide clues in any situation – whether physical or cyber crime.

However the legalities in this case may turn out to be is not the focus here. In the futuristic world (5 years from now for discussion), the digital DNA will rule our lives more than ever. In that day and age, you can run but you cannot hide for long.

From a data practitioner perspective, this means more data to manage, and more applications to control. This is exciting and scary at the same time.

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Vendor hype cycles will continue to confuse you across the board. as the year grows, there will be more discussions on this subject by everybody. Your thoughts….

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For a while I was attempting (probably the correct word) to keep both this blog as well as my SQL Server Magazine SQL Server BI blog current. Working on growing B.I. Voyage , speaking, writing, and blogging is quite the work load. And so this blog suffered as a result. THANK YOU all who read my blog here on SQLTeam.com, I intend to leave it live for those who might benefit from its content at a later date. My consolidated, single blog can be found at http://www.sqlmag.com/blogs/sqlserverbi.aspx .

Cheers,

Derek

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Deeper investigation reveals several gaps and loopholes. The vendors that came to provide strategy and technology services addressed “point in time” problems and developed focused solutions. With the craziness of technology improvements, market conditions (m&a), business changes all coming together, the entire situation is like playing “poker” at the high stakes tables in Vegas.

How do we unravel from the state of chaos to a state of order. Hiring more strategy consultants is not the only answer. We need to do a holistic overview of the business situation and find out where issues have come from and how the current solution process will address today and the future.

In order to recover from a state of chaos to clarity, you need to look at the strength of the organization and its people, assess its technological prowess, its competition, business value, market value, strategic maturity and adoption of processes in the organization and more.

However doing all this in a short span requires a great deal of focus and more maturity from the vendor that will be hired for this exercise. Size does not matter in this spectrum.

A vendor rating from the Analyst community is a starting edge of this process, but that alone is not enough, we need to ask for organization maturity, delivery capability and much more to not repeat the mistakes to get to a state of chaos. Sometimes a few “niche” vendors may be needed to solve the larger problem.

To be continued…..

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In my opinion, the unstructured data integration into the data warehouse is a very key area of applicability for the Columnar database. The reason for this statement, stems from the fact that the unstructured database is a very column oriented data store and if we are processing oodles of text, the reference of information will be more clustered in nature. This drives the need to store the data in a co-located manner, which then leads me to look at columnar databases more closely.

I do not imply that Oracle, SQL Server, DB2 or Teradata cannot support the unstructured database needs, but for those who want to adopt to the cloud, use more on demand scalability etc, columnar databases may be an in-house option. Additionally for those providers in cloud arena, columnar databases may be more optimal to adopt to.

I’m currently running tests on Infobright and will share the results in the next few days. I’m processing a large volume of semi-structured and unstructured data and will measure the throughput and performance against the standard RDBMS platforms.

In my technical opinion, choosing a columnar database for processing large textual data provides more business benefits, the final results can be migrated to a corporate environment, but operational aspects can be done in the columnar platform.

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This requires research and processing of clinical information that can be leveraged by a Doctor. While search from Google, Oracle and others are supporting the search portions, Clinical data is heavily semi-structured – a combination of structured and unstructured data. The unstructured portions is where you have all the content and context of diagnosis, treatments, prognosis, conclusions etc. This is where Textual ETL and the unstructured database build will help us. The entire DW2.0 methodology can be directly applied to this system. We can classify, categorize, contextualize and capture information from the clinical data into a database.

In conducting the research, I have found that we can process years of clinical data into an unstructured database with relative ease and when combined with the statistical research data, the results have been an eye-opener. The possibilities of reducing errors and offering the right treatment means the cost of healthcare can be managed well. The quality of the treatment will be more rewarding and welcome.

I know that many Doctors and other medical professionals have different opinions on this subject, but that was when no technology was available to support EBM, now that we do, we should start paying attention to this area.

I will be writing my first article for this year on this subject, stay tuned for the article.

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